Texture Spectrum Descriptor Based Image Retrieval
Texture Spectrum Descriptor Based Image Retrieval
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DOI：
10.1360/jos161039
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Zhi-Ping Shi;Hu Hong;Qing-Yong Li;Zhongzhi Shi;Chan-Lun Duan
中科院分区：
文献类型：
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作者：
Zhi-Ping Shi;Hu Hong;Qing-Yong Li;Zhongzhi Shi;Chan-Lun Duan
提出一种新的纹理谱描述子应用于基于内容的图像检索中.讨论了小波变换与纹理谱方法的关系。根据纹理的视觉特性，提出了纹理模式等价的概念，导出了更为合理的纹理谱描述符。提出的纹理模式描述了像素灰度在一个区域内的变化规律，用以描述图像的纹理特征。它以纹理谱直方图的形式表示图像内容。分析了纹理谱的对称不变性和旋转鲁棒性的特点.应用于图像检索,与G曲or纹理特征相比较,该纹理谱描述子特征提取速度快,检索准确率高.
This paper presents a new texture spectrum descriptor for content-based image retrieval (CBIR). The relation between wavelet transition and texture spectrum method is discussed. This paper proposes the concept of texture pattern equivalent according to texture visual nature to educe more rational texture spectrum descriptor. The proposed texture patterns depict the variational pattern of pixel gray scales in a domain to descript images texture feature. It represents image content in the form of texture spectrum histogram. The symmetry invariant and rotation robusticity are discussed. Comparison with Gabor features using general image dataset indicate that the proposed texture descriptor takes lower extracting time and provides higher image retrieval accuracy.